21 lines
497 B
Python
21 lines
497 B
Python
_base_ = [
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'../_base_/models/vit-large-p32.py',
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'../_base_/datasets/imagenet_bs64_pil_resize_autoaug.py',
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'../_base_/schedules/imagenet_bs4096_AdamW.py',
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'../_base_/default_runtime.py'
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]
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# model setting
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model = dict(
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head=dict(hidden_dim=3072),
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train_cfg=dict(
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augments=dict(
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type='BatchMixup',
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alpha=0.2,
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num_classes=1000,
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prob=1.,
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)))
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# schedule setting
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optim_wrapper = dict(clip_grad=dict(max_norm=1.0))
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